Welcome address presented by Seth Grimes at the 2011 Text Analytics Summit

1. Text Analytics: The Industry At A Glance Where We Are, Where We’re Going, and Your Text Mining Investment Seth Grimes @sethgrimes #TAS11

2. Where we are Ken Jennings, IBM Watson, and Brad Rutter play Jeopardy! https://secure.wikimedia.org/wikipedia/en/wiki/File:Watson_Jeopardy.jpg

3. Miles to go http://www.businessweek.com/magazine/content/04_19/b3882029_mz072.htm

4. Milestones [and goal(s)?] Language+ understanding. Text, speech, images, and video. Narrative, discourse, and argument. Information extraction. Knowledge structuring and integration. Inference; synthesis. Language generation. Conversation; interaction; autonomy. ≈> Convergence, a.k.a. Singularity

5. Singularity? Before we reach that point…

6. Text+ technologies today Text analytics, by generating semantics, bridges search and BI to turn Information Retrieval into Information Accessfor online, social & enterprise content. Information management Search BI Text Analytics Information access Integrated analytics Semantic search

7. Applications today Broadly grouped -- Intelligence and counter-terrorism. Life sciences. Content management, publishing & search. Customer & market intelligence. E-discovery. Enterprise feedback. Law enforcement. Risk, fraud, compliance, and investigation.

8. Resegmenting the market Information Acquisition NLP (natural language processing) (including aaS) Information management & semantics Databases, repositories, content management systems • Information integration • Semantic Web Search-based/oriented applications E-discovery and compliance • Semantic search • Media & publishing • Advertising Enterprise applications Customer experience/relationship management and marketing including social • Market research and competitive Intelligence • BI and research • Online commerce • Life sciences • Intelligence

9. Market size I estimate a global, 2010 text-analytics market of – $15 million ≈ Information acquisition (TA part) E.g., 80legs, Informatica, ISYS Search, Kapow Software, Oracle. $455 million ≈ NLP, semantics & text analytics Installed & as a service, including vendor professional services. $35 million ≈ Information management applications of TA Companies such as EMC, IBM, MarkLogic, Open Text, and Oracle. $30 million ≈ Enterprise applications of text analytics Typically OEM TA licensees, e.g., Radian6, SatMetrix, Vovici. $300 million ≈ Search-based applications (TA part) Companies such as Autonomy, Cataphora, Dow Jones/Factiva, Elsevier, Endeca, FirstRain, Google, IBM, Lixto, Thomson Reuters. = $835 million.

11. Text technology initiatives Now and near future. Semantic search. Sentiment analysis. Listening platforms. Question answering. Text visualization. Web 3.0 & the Semantic Web.

12. Text technology initiatives, revisited But I used that list last year! Revising very slightly: Semantic search. Sentiment analysis. Lots of market confusion, including from some folks at TAS11. Listening platforms. Question answering. Text visualization. Web 3.0 & the Semantic Web. Ronen Feldman, Bar-Ilan University and Hebrew University: “Text analytics [is] driving the Semantic Web” (2006). Copious European government research funding, coupled with wishful thinking, is driving the Semantic Web.

15. And Your Investment? Robust growth across applications. Technical innovation. New frontiers. Consolidation and emergence. Opportunity You have two days to learn more!

16. Text Analytics: The Industry At A Glance Where We Are, Where We’re Going, and Your Text Mining Investment Seth Grimes @sethgrimes #TAS11